DBMS > IBM Db2 warehouse vs. Neo4j vs. NSDb

System Properties Comparison IBM Db2 warehouse vs. Neo4j vs. NSDb

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Editorial information provided by DB-Engines

Name

Description

Cloud-based data warehousing service

Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Primary database model

Relational DBMS

Graph DBMS

Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.17
Rank	#167	Overall
	#75	Relational DBMS

Score	46.15
Rank	#20	Overall
	#1	Graph DBMS

Score	0.00
Rank	#394	Overall
	#43	Time Series DBMS

Website

www.ibm.com/products/db2/warehouse

neo4j.com

nsdb.io

Technical documentation

neo4j.com/docs

nsdb.io/Architecture

Developer

IBM

Neo4j, Inc.

Initial release

2014

2007

2017

Current release

5.23, August 2024

License

Commercial or Open Source

commercial

Open Source

GPL version3, commercial licenses available

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, Scala

Server operating systems

hosted

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

Linux
macOS

Data scheme

yes

schema-free and schema-optional

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, string

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Import/export of XML data possible

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

all fields are automatically indexed

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

.NET Client API
JDBC
ODBC
OLE DB

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

gRPC
HTTP REST
WebSocket

Supported programming languages

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

Java
Scala

Server-side scripts

Stored procedures

PL/SQL, SQL PL

yes

User defined Procedures and Functions

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes using Neo4j Fabric

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Causal Clustering using Raft protocol

available in in Enterprise Version only

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

Eventual Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

More information provided by the system vendor

News

Graphiti: Knowledge Graph Memory for a Post-RAG Agentic World
24 March 2025

What Are the Best Graph Database Use Cases in 2025?
20 March 2025

Modeling Agent Memory
20 March 2025

LLM Knowledge Graph Builder Front-End Architecture
18 March 2025

Is Traditional SaaS Behind Us? The Graph + GenAI Revolution
18 March 2025

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More resources

DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

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Recent citations in the news

A major upgrade to Db2® Warehouse on IBM Cloud®
26 June 2024, IBM

IBM Db2 12.1.1.0 has arrived: What’s new and improved?
5 February 2025, IBM

Top 7 Cloud Data Warehouse Companies
31 May 2023, Datamation

Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on, mission-critical workloads
11 July 2023, IBM

Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x
11 July 2023, IBM

provided by Google News

Swedish company accelerates toward IPO with $50M investment at $2B valuation - ArcticStartup
28 November 2024, ArcticStartup

Free Software Foundation rides to defend AGPLv3 against Neo4j license add-ons
4 March 2025, The Register

Neo4j lowers barriers to graph technology with gen AI copilot, 15x read capacity
4 September 2024, VentureBeat

Data Science Firm Neo4j Reportedly Prepping IPO
19 November 2024, PYMNTS.com

The Top Product Roadblocks and Headaches Scaling from $0 to the First $100M ARR with Neo4j CTO Philip Rathle
3 March 2025, saastr.com

provided by Google News

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